Machine-learning-based photometric redshifts for galaxies of the ESO Kilo-Degree Survey data release 2
Date Issued
2015
Author(s)
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Longo, G.
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Capaccioli, M.
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de Jong, J. T. A.
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Description
The authors would like to thank the anonymous referee for extremely valuable comments and suggestions. This work is based on data products from observations made with ESO telescopes at the La Silla Paranal Observatory under programme IDs 177.A-3016, 177.A-3017 and 177.A-3018, and on data products produced by Target/OmegaCEN, INAF-OACN, INAF-OAPD and the KiDS production team, on behalf of the KiDS consortium. OmegaCEN and the KiDS production team acknowledge support by NOVA and NWO-M grants. Members of INAF-OAPD and INAF-OACN also acknowledge support from the Department of Physics and Astronomy of the University of Padova, and of the Department of Physics of Univ. Federico II (Naples). The authors would like to thank Amata Mercurio, Joachim Harnois-Déraps and Peter Schneider for very useful comments. CT has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n. 267251 ‘Astronomy Fellowships in Italy’ (AstroFIt). This work was partially funded by the MIUR PRIN ‘Cosmology with Euclid’. MB acknowledges support by the PRIN-INAF 2014 ‘Glittering kaleidoscopes in the sky: the multifaceted nature and role of Galaxy Clusters’.
Abstract
We have estimated photometric redshifts (zphot) for more than 1.1 million galaxies of the public European Southern Observatory (ESO) Kilo-Degree Survey (KiDS) data release 2. KiDS is an optical wide-field imaging survey carried out with the Very Large Telescope (VLT) Survey Telescope (VST) and the OmegaCAM camera, which aims to tackle open questions in cosmology and galaxy evolution, such as the origin of dark energy and the channel of galaxy mass growth. We present a catalogue of photometric redshifts obtained using the Multi-Layer Perceptron with Quasi-Newton Algorithm (MLPQNA) model, provided within the framework of the DAta Mining and Exploration Web Application REsource (DAMEWARE). These photometric redshifts are based on a spectroscopic knowledge base that was obtained by merging spectroscopic data sets from the Galaxy and Mass Assembly (GAMA) data release 2 and the Sloan Digital Sky Survey III (SDSS-III) data release 9. The overall 1σ uncertainty on ∆z = (zspec - zphot)/(1 + zspec) is ̃0.03, with a very small average bias of ̃0.001, a normalized median absolute deviation of ̃0.02 and a fraction of catastrophic outliers (|∆z| > 0.15) of ̃0.4 per cent.
Volume
452
Issue
3
Start page
3100
Issn Identifier
0035-8711
Ads BibCode
2015MNRAS.452.3100C
Rights
open.access
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